Performance Indicators in Emergency Operating Theaters: A State of the Art

2021 ◽  
pp. 486-495
Author(s):  
Gustavo Santamaria-Acevedo ◽  
Oualid Jouini ◽  
Benjamin Legros ◽  
Zied Jemai
Keyword(s):  
Performance Indicators ◽  
State Of The Art ◽  
Emergency Operating

Systematic Literature Review on Smart Mobility: A Framework for Future “Quantitative” Developments

2021 ◽  
pp. 088541222199424
Author(s):  
Mauro Francini ◽  
Lucia Chieffallo ◽  
Annunziata Palermo ◽  
Maria Francesca Viapiana
Keyword(s):  
Cluster Analysis ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Performance Indicators ◽  
State Of The Art ◽  
Measurement Model ◽  
Broader Impacts ◽  
Research Goal ◽  
Smart Mobility ◽  
Definition Of

This work aims to reorganize theoretical and empirical research on smart mobility through the systematic literature review approach. The research goal is to reach an extended and shared definition of smart mobility using the cluster analysis. The article provides a summary of the state of the art that can have broader impacts in determining new angles for approaching research. In particular, the results will be a reference for future quantitative developments for the authors who are working on the construction of a territorial measurement model of the smartness degree, helping them in identifying performance indicators consistent with the definition proposed.

scholarly journals A Methodology for Determination and Definition of Key Performance Indicators for Smart Grids Development in Island Energy Systems

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 242 ◽  
Author(s):  
Dionysios Pramangioulis ◽  
Konstantinos Atsonios ◽  
Nikos Nikolopoulos ◽  
Dimitrios Rakopoulos ◽  
Panagiotis Grammelis ◽  
...  
Keyword(s):  
Smart Grid ◽  
Performance Indicators ◽  
Smart Grids ◽  
State Of The Art ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Key Performance Indicators ◽  
Energy System ◽  
The European Union ◽  
Evaluation Approach

There is a growing interest over the last decades in the field of autonomous island grids that is driven mainly by climate reasons. The common objective among the members of the European Union (EU) is the increase of Renewable Energy Sources (RES) penetration in the energy mixture, as well as turning the grid into a smart grid. Consequently, more and more state-of-the-art solutions are being proposed for the electricity generation and the optimization of the energy system management, taking advantage of innovations in all energy related sectors. The evaluation of all available solutions requires quantitative assessment, through the adoption of representative Key Performance Indicators (KPIs) for the projects that are related to smart grid development in isolated energy systems, providing the relevant stakeholders with a useful comparison among the proposed solutions. The evaluation approach that is described in this paper emphasizes the role of the various stakeholder groups who face the proposed solutions by different points of view. Apart from the domains of interest that are also observed in previous approaches, the proposed list also contains a set of legal KPIs, since the regulatory framework can either represent a serious barrier or grant a strong incentive for the implementation of state-of-the-art energy technology and grid management solutions in different countries.

scholarly journals CLINICAL APPLICATION OF THERMOGRAPHY FOR ENERGY BALANCE IN ATHLETES – STATE OF THE ART AND NEW PARADIGMS

2018 ◽  
Vol 24 (6) ◽  
pp. 483-485
Author(s):  
Tiago Lazzaretti Fernandes ◽  
Arnaldo Jose Hernandez ◽  
Cyro Albuquerque ◽  
Carlos Eduardo Keutenedjian Mady
Keyword(s):  
Physical Activity ◽  
Performance Indicators ◽  
Lactate Threshold ◽  
Literature Search ◽  
State Of The Art ◽  
Treadmill Running ◽  
Internal Temperature ◽  
Maximum Oxygen Consumption ◽  
Level Of Evidence ◽  
Laws Of Thermodynamics

ABSTRACT This article aims to describe the evolution of techniques that have enabled the proper application of the Laws of Thermodynamics for physical activity and athletes. The objective is to propose performance indicators to help add information to the current indices used in medicine and sports, such as the lactate threshold and maximum oxygen consumption. A number of analyses of the results obtained by the group were carried out for this purpose. Moreover, a discussion regarding which techniques would provide a better response to the measurements was analyzed. Some examples are the substitution of the treadmill running test with the stationary bicycle (known performed work), and a literature search in order to measure internal temperature more accurately. Level of Evidence V; Expert opinion.

scholarly journals Study and Analysis of the Implementation of 4.0 Technologies in the Agri-Food Supply Chain: A State of the Art

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2526
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Food Supply ◽  
Industry 4.0 ◽  
State Of The Art ◽  
Cyber Physical Systems ◽  
Food Supply Chain ◽  
Industrial Environment ◽  
Physical Systems ◽  
Lack Of Information

Industry 4.0 is changing the industrial environment. Particularly, the emerging Industry 4.0 technologies can improve the agri-food supply chain throughout all its stages. This study aims to highlight the benefits of implementing Industry 4.0 in the agri-food supply chain. First, it presents how technologies enhance the agri-food supply chain development. Then, it identifies and highlights the most common challenges that Industry 4.0 implementation faces in agri-food’s environment. After that, it proposes key performance indicators to measure the advantages of this implementation. To achieve this, a systematic literature review was conducted. It combined conceptual and bibliometric analyses of 78 papers. As a result, the most suitable technologies were identified, e.g., Internet of Things, Big Data, blockchain and cyber physical systems. The most used indicators are proposed and the challenges of implementation were detected and classified in three groups, i.e., technical, educational and governmental. This paper highlights and exemplifies the benefits of implementing Industry 4.0 facing the lack of knowledge that exists nowadays. Moreover, it fulfils the gaps in literature, i.e., the lack of information about the implementation of technologies 4.0 or the description of the most relevant indicators for Industry 4.0 implementation.

scholarly journals Use Cases of the ESO Telescope Bibliography

2018 ◽  
Vol 186 ◽  
pp. 06001 ◽  
Author(s):  
Uta Grothkopf ◽  
Silvia Meakins ◽  
Dominic Bordelon
Keyword(s):  
Performance Indicators ◽  
State Of The Art ◽  
Key Performance Indicators ◽  
Use Cases ◽  
Front Line ◽  
User Community ◽  
Wide Range ◽  
World Class

ESO’s mission is to enable front-line research in astrophysics by operating and maintaining and a wide range of world-class telescopes and state-of-the-art instruments. Various key performance indicators are used to understand whether ESO is achieving these ambitious goals. In order to assist the ESO Management, the Library builds and maintains the Telescope Bibliography (telbib). telbib provides insights into the performance of ESO’s facilities and helps to understand publishing trends among the user community. This paper will highlight some use cases and recently added enhancements.

scholarly journals A Dynamically Reconfigurable BbNN Architecture for Scalable Neuroevolution in Hardware

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 803 ◽  
Author(s):  
Alberto García ◽  
Rafael Zamacola ◽  
Andrés Otero ◽  
Eduardo de la Torre
Keyword(s):  
Evolutionary Algorithm ◽  
Performance Indicators ◽  
State Of The Art ◽  
Classification Problems ◽  
Dynamically Reconfigurable ◽  
Training Stage ◽  
System On A Chip ◽  
Block Based ◽  
Synchronization Scheme

In this paper, a novel hardware architecture for neuroevolution is presented, aiming to enable the continuous adaptation of systems working in dynamic environments, by including the training stage intrinsically in the computing edge. It is based on the block-based neural network model, integrated with an evolutionary algorithm that optimizes the weights and the topology of the network simultaneously. Differently to the state-of-the-art, the proposed implementation makes use of advanced dynamic and partial reconfiguration features to reconfigure the network during evolution and, if required, to adapt its size dynamically. This way, the number of logic resources occupied by the network can be adapted by the evolutionary algorithm to the complexity of the problem, the expected quality of the results, or other performance indicators. The proposed architecture, implemented in a Xilinx Zynq-7020 System-on-a-Chip (SoC) FPGA device, reduces the usage of DSPs and BRAMS while introducing a novel synchronization scheme that controls the latency of the circuit. The proposed neuroevolvable architecture has been integrated with the OpenAI toolkit to show how it can efficiently be applied to control problems, with a variable complexity and dynamic behavior. The versatility of the solution is assessed by also targeting classification problems.

A Literature Review of Data Mining Techniques for Enhancing Digital Customer Engagement

2020 ◽  
Vol 16 (4) ◽  
pp. 80-100
Author(s):  
Mona Mosa ◽  
Nedaa Agami ◽  
Ghada Elkhayat ◽  
Mohamed Kholief
Keyword(s):  
Data Mining ◽  
Performance Indicators ◽  
State Of The Art ◽  
Positive Impact ◽  
Customer Engagement ◽  
Business Success ◽  
Data Mining Techniques ◽  
Digital Engagement ◽  
The Impact ◽  
Digital Channels

The evolution of the customer engagement concept had a positive impact on how business and customers interact. The term digital customer engagement emerged to empower such interaction via encouraging customers to use digital channels. Data mining techniques can help in identifying patterns, generating insights, and making predictions for a massive amount of data. The purpose of this paper is to explore the current literature on data mining techniques to enhance digital customer engagement and review the impact of data mining on analyzing customer's attributes and its key performance indicators influenced by digital customer engagement and affecting business success. The scope of the review encompasses the state of the art of scientific methodologies and models applied to identify customers with the highest potential towards digital engagement. A critical analysis also identified gaps in the literature. This study is the first to explicitly consider data mining techniques for enhancing digital customer engagement with a comprehensive analysis of customer's attributes in different domains.

Practical Picture Processing

1974 ◽  
Vol 32 ◽  
pp. 338-339
Author(s):  
T. A. Welton
Keyword(s):  
Radiation Damage ◽  
Coherence Length ◽  
Spatial Information ◽  
State Of The Art ◽  
Coherent Radiation ◽  
The State ◽  
Energy Spread ◽  
Electron Micrograph ◽  
Picture Processing ◽  
Molecular Skeleton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.

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